In this contribution, we propose a method that uses a multilingual
framework to validate the relevance of the notion of vector based semantic similarity between texts. The goal is to verify that vector
based semantic similarities can be reliably transfered from one language to another. More precisely, the idea is to test whether the
relative positions of documents in a vector space associated with a given source language are close to the ones of their translations in
the vector space associated with the target language. The experiments, carried out with both the standard Vector Space model and the more
advanced DSIR model, have given very promising results.